CloseAI Review: Pricing & Comparison

Why enterprises choose CloseAI

CloseAI (closeai-asia.com, formerly OpenAI Asia) has been in the domestic AI API proxy market since 2022, and claims to have served large internet companies like Alibaba, Tencent, and Baidu, along with dozens of universities and research institutions including Tsinghua University and Peking University.

These two customer segments carry very different purchasing logic: large enterprises need a DPA to protect their business data, while universities and research teams need native protocol support for tools like Claude Code. CloseAI’s product direction is built around these two needs, rather than chasing the lowest price or the largest model count.

What native support for all three protocols actually means

Most relay platforms only offer OpenAI-format compatibility, forwarding requests to Claude under the hood through a protocol-conversion layer — that’s good enough for most scenarios, but carries two hidden risks:

1. Advanced features like Prompt Caching can get lost in the conversion, since the cache_control field is specific to Anthropic’s native protocol
2. Claude Code configuration becomes more cumbersome, requiring manual adaptation to OpenAI format instead of using the Anthropic SDK directly

CloseAI supports the native Anthropic protocol, meaning Claude Code and the Anthropic SDK can connect with zero changes:

# Connecting to CloseAI (native Anthropic protocol)
export ANTHROPIC_BASE_URL="https://api.closeai-asia.com"
export ANTHROPIC_API_KEY="your key"

# Use the claude CLI directly
claude --api-base-url $ANTHROPIC_BASE_URL "help me review this code"

The same logic applies to the native Gemini protocol — the Gemini CLI can be configured directly against CloseAI’s endpoint, without going through an OpenAI-compatibility layer.

The DPA data processing agreement: an enterprise-compliance threshold

A DPA (Data Processing Agreement) specifies how a platform collects, processes, and stores API request data, along with who’s responsible if a data breach occurs. Finance, healthcare, and government-procurement scenarios typically require vendors to sign a DPA, or they can’t enter the procurement process at all.

CloseAI explicitly offers a signable DPA, which puts it in the minority among domestic AI API relay platforms. If your application handles personal information, financial data, or other sensitive business data, this directly determines whether you can go live in compliance — it’s not optional.

Model coverage

Coverage across five major vendors, managed through a single endpoint:

• Anthropic/Claude: Claude Fable 5, Claude Opus 4.8, Claude Sonnet 4.6 (with full Prompt Caching support)
• OpenAI/GPT: GPT-5.5, GPT-4o, and the o-series reasoning models
• Google/Gemini: the Gemini 3.5 Flash/Pro series
• Domestic closed-source: Qwen (Alibaba), Kimi (Moonshot AI), GLM (Zhipu), MiniMax
• Domestic open-source: DeepSeek V4 Flash/Pro

The coverage is broad enough to handle enterprise team scenarios like “calling multiple vendors’ models at once for comparative research” or “using different models for different business modules.”

Pricing and how to get access

CloseAI is positioned as enterprise-grade and doesn’t run a public self-service top-up flow — pricing is primarily negotiated. For a quick quote, visit closeai-asia.com to submit an enterprise trial application or contact sales; there’s typically a technical onboarding and demo process involved.

Mainland direct connect, no proxy needed, suited to production environments deployed on domestic servers.

Who it fits, who it doesn’t

Good fit:

• Compliance-driven projects that need a signed DPA (finance/healthcare/government)
• R&D teams making heavy use of Claude Code or the Anthropic SDK
• Universities and research institutions (ask about education discounts if you have institutional backing)
• Mid-to-large engineering teams using GPT/Claude/Gemini simultaneously

Poor fit:

• Individual developers or small projects (the business process is relatively heavy, not self-service top-up)
• Cost-sensitive use cases where the lowest unit price is the top priority
• Anyone who wants a five-minute self-serve trial without a contract negotiation

The “largest in Asia” claim is self-described by the vendor and not independently verified — cite it with that caveat. We’d recommend confirming actual performance through technical validation (a real Prompt Caching test, comparing response formats) before making a procurement decision.

If your primary need is invoicing and corporate bank-transfer payment (rather than a DPA), 147API supports corporate payment and invoicing with a lower barrier to entry than CloseAI. If you need multi-project usage auditing but aren’t yet at enterprise-contract scale, PoloAPI’s team usage-management features are worth a look first. For individual developers or small startups, a lower-barrier platform like MKE AI is a better fit for getting started quickly.

Information verified 2026-06-23. Enterprise pricing is negotiated directly — visit closeai-asia.com to apply for a trial.

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